Triple
T4407350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philo |
E93766
|
entity |
| Predicate | engagesWithTopic |
P24066
|
FINISHED |
| Object | existence of God |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: existence of God | Statement: [Philo, engagesWithTopic, existence of God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engagesWithTopic Context triple: [Philo, engagesWithTopic, existence of God]
-
A.
engagementCapability
Indicates the ability or capacity of one entity to initiate, conduct, or sustain an interaction or engagement with another entity.
-
B.
includesTopics
chosen
Indicates that one entity contains, covers, or addresses the specified topics as part of its content or scope.
-
C.
engagedBy
Indicates that an entity is actively involved, occupied, or participating in an activity, process, or interaction initiated or provided by another entity.
-
D.
engagementType
Indicates the specific kind or category of engagement or interaction that occurs between the related entities.
-
E.
frequentlyDiscussedIn
Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b3548b1ca08190b3136867c7098d86 |
completed | March 13, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:28 p.m.